This federal Project Grant award, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop computer-assisted tools and methods to help analysts create more effective data visualizations. The $316,000 award, spanning from October 1, 2024 to September 30, 2028, will fund research by the University of Utah to enable computers to provide guidance and feedback to help visualization designers make more informed...
This three-year, $350,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a knowledge platform and related tools to bridge the gap between visualization research and design practice. Specifically, the Trustees of Boston College will receive funding to build a comprehensive online framework for improving access to and learning about effective visualization design principles. This framework will consolidate existing...
The National Science Foundation (NSF) awarded a $599,518 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Maryland, College Park. This five-year grant, which began on September 1, 2023, will support research into "Manipulable Semantic Components in Data Visualization Design." The key focus of the project is to develop new interaction paradigms for data visualization design, enabling flexible manipulation of graphical...
This $187,194 Project Grant award, funded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports a research study on how effectively data visualizations communicate scientific information to the general public. The researchers at the National Opinion Research Center (NORC) will conduct an online survey of 2,000 U.S. adults to evaluate their understanding and interpretation of different data visualization designs, such as bar and...
This federal Project Grant award of $632,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to enable computers to serve as more reliable and robust assistants in providing guidance and feedback to help analysts make effective data visualization design decisions. The overarching goals are to develop "provably effective" visualization analyses that can be tested against best practices and experimental data,...
This $540,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop responsive uncertainty visualizations that can adapt to the needs and abilities of diverse users to improve human decision-making. The project team at Northeastern University will create methods to model user abilities and needs, along with a library of techniques to effectively represent data uncertainty...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) Program (CFDA 47.075) Project Grant award to Iowa State University of Science and Technology provides $305,912 from August 1, 2024 to July 31, 2027 to examine how accurately U.S. adults interpret different types of data visualizations. The researchers will implement an online survey of 2,000 respondents to measure their understanding and interpretation of various data visualization designs, such as bar and...
The National Science Foundation awarded a $550,000 project grant to Arizona State University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of October 1, 2022 through September 30, 2025. The grant will support the development of novel techniques and open source software tools to enable the creation of privacy-preserving data visualizations. A visualization grammar will be established to specify visualization designs that consider...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $1.2 million to the University of North Carolina at Chapel Hill to develop counterfactual-centered methods for data visualization from October 1, 2022 to September 30, 2026. The university will design and implement new computational techniques and open-source software to enhance traditional data visualization tools. By incorporating comparisons to counterfactual data...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $320,000 in funding to the University of Notre Dame to develop novel solutions for scientific visualization using deep learning techniques. The key products and services to be delivered under this 3-year award include: Developing neural field representation techniques to enable improved synthesis, management, exploration, and...